{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "suburban-assessment",
   "metadata": {},
   "source": [
    "# Analyzing a double hanger resonator (S Param)\n",
    "### Prerequisite\n",
    "You must have a working local installation of Ansys."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "private-advance",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import qiskit_metal as metal\n",
    "from qiskit_metal import designs, draw\n",
    "from qiskit_metal import MetalGUI, Dict, Headings\n",
    "import pyEPR as epr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "impressed-milwaukee",
   "metadata": {},
   "source": [
    "## Create the design in Metal\n",
    "Set up a design of a given dimension. Dimensions will be respected in the design rendering.\n",
    "<br>\n",
    "Note the chip design is centered at origin (0,0). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "alpine-style",
   "metadata": {},
   "outputs": [],
   "source": [
    "design = designs.DesignPlanar({}, True)\n",
    "design.chips.main.size['size_x'] = '2mm'\n",
    "design.chips.main.size['size_y'] = '2mm'\n",
    "\n",
    "gui = MetalGUI(design)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ecological-width",
   "metadata": {},
   "source": [
    "Perform the necessary imports."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "advanced-eclipse",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit_metal.qlibrary.couplers.coupled_line_tee import CoupledLineTee\n",
    "from qiskit_metal.qlibrary.tlines.meandered import RouteMeander\n",
    "from qiskit_metal.qlibrary.qubits.transmon_pocket import TransmonPocket\n",
    "from qiskit_metal.qlibrary.tlines.straight_path import RouteStraight\n",
    "from qiskit_metal.qlibrary.terminations.open_to_ground import OpenToGround"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "million-mainstream",
   "metadata": {},
   "source": [
    "Add 2 transmons to the design."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "alternate-saying",
   "metadata": {},
   "outputs": [],
   "source": [
    "options = dict(\n",
    "    # Some options we want to modify from the deafults\n",
    "    # (see below for defaults)\n",
    "    pad_width = '425 um', \n",
    "    pocket_height = '650um',\n",
    "    # Adding 4 connectors (see below for defaults)\n",
    "    connection_pads=dict( \n",
    "        a = dict(loc_W=+1,loc_H=+1), \n",
    "        b = dict(loc_W=-1,loc_H=+1, pad_height='30um'),\n",
    "        c = dict(loc_W=+1,loc_H=-1, pad_width='200um'),\n",
    "        d = dict(loc_W=-1,loc_H=-1, pad_height='50um')\n",
    "    )\n",
    ")\n",
    "\n",
    "## Create 2 transmons\n",
    "\n",
    "q1 = TransmonPocket(design, 'Q1', options = dict(\n",
    "    pos_x='+1.4mm', pos_y='0mm', orientation = '90', **options))\n",
    "q2 = TransmonPocket(design, 'Q2', options = dict(\n",
    "    pos_x='-0.6mm', pos_y='0mm', orientation = '90', **options))\n",
    "\n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "deadly-reproduction",
   "metadata": {},
   "source": [
    "Add 2 hangers consisting of capacitively coupled transmission lines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "dried-substance",
   "metadata": {},
   "outputs": [],
   "source": [
    "TQ1 = CoupledLineTee(design, 'TQ1', options=dict(pos_x='1mm',\n",
    "                                             pos_y='3mm',\n",
    "                                             coupling_length='200um'))\n",
    "TQ2 = CoupledLineTee(design, 'TQ2', options=dict(pos_x='-1mm',\n",
    "                                             pos_y='3mm',\n",
    "                                             coupling_length='200um'))\n",
    "\n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "decent-brush",
   "metadata": {},
   "source": [
    "Add 2 meandered CPWs connecting the transmons to the hangers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "present-german",
   "metadata": {},
   "outputs": [],
   "source": [
    "ops=dict(fillet='90um')\n",
    "design.overwrite_enabled = True\n",
    "\n",
    "options1 = Dict(\n",
    "    total_length='8mm',\n",
    "    hfss_wire_bonds = True,\n",
    "    pin_inputs=Dict(\n",
    "        start_pin=Dict(\n",
    "            component='TQ1',\n",
    "            pin='second_end'),\n",
    "        end_pin=Dict(\n",
    "            component='Q1',\n",
    "            pin='a')),\n",
    "    lead=Dict(\n",
    "        start_straight='0.1mm'),\n",
    "    **ops\n",
    ")\n",
    "\n",
    "options2 = Dict(\n",
    "    total_length='9mm',\n",
    "    hfss_wire_bonds = True,\n",
    "    pin_inputs=Dict(\n",
    "        start_pin=Dict(\n",
    "            component='TQ2',\n",
    "            pin='second_end'),\n",
    "        end_pin=Dict(\n",
    "            component='Q2',\n",
    "            pin='a')),\n",
    "    lead=Dict(\n",
    "        start_straight='0.1mm'),\n",
    "    **ops\n",
    ")\n",
    "\n",
    "meanderQ1 = RouteMeander(design, 'meanderQ1', options=options1)\n",
    "meanderQ2 = RouteMeander(design, 'meanderQ2', options=options2)\n",
    "\n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "brazilian-agreement",
   "metadata": {},
   "source": [
    "Add 2 open to grounds at the ends of the horizontal CPW."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "close-plate",
   "metadata": {},
   "outputs": [],
   "source": [
    "otg1 = OpenToGround(design, 'otg1', options = dict(pos_x='3mm', \n",
    "                                                   pos_y='3mm'))\n",
    "otg2 = OpenToGround(design, 'otg2', options = dict(pos_x = '-3mm', \n",
    "                                                   pos_y='3mm', \n",
    "                                                   orientation='180'))\n",
    "\n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "several-april",
   "metadata": {},
   "source": [
    "Add 3 straight CPWs that comprise the long horizontal CPW."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "incomplete-nothing",
   "metadata": {},
   "outputs": [],
   "source": [
    "ops_oR = Dict(hfss_wire_bonds = True,\n",
    "              pin_inputs=Dict(\n",
    "                 start_pin=Dict(\n",
    "                     component='TQ1',\n",
    "                     pin='prime_end'),\n",
    "                 end_pin=Dict(\n",
    "                     component='otg1',\n",
    "                     pin='open')))\n",
    "ops_mid = Dict(hfss_wire_bonds = True,\n",
    "               pin_inputs=Dict(\n",
    "                 start_pin=Dict(\n",
    "                     component='TQ1',\n",
    "                     pin='prime_start'),\n",
    "                 end_pin=Dict(\n",
    "                     component='TQ2',\n",
    "                     pin='prime_end')))\n",
    "ops_oL = Dict(hfss_wire_bonds = True,\n",
    "              pin_inputs=Dict(\n",
    "                 start_pin=Dict(\n",
    "                     component='TQ2',\n",
    "                     pin='prime_start'),\n",
    "                 end_pin=Dict(\n",
    "                     component='otg2',\n",
    "                     pin='open')))\n",
    "\n",
    "cpw_openRight = RouteStraight(design, 'cpw_openRight', options=ops_oR)\n",
    "cpw_middle = RouteStraight(design, 'cpw_middle', options=ops_mid)\n",
    "cpw_openLeft = RouteStraight(design, 'cpw_openLeft', options=ops_oL)\n",
    "\n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "mexican-management",
   "metadata": {},
   "source": [
    "## 2. Eigenmode and Impedance analysis using the `advanced` flow\n",
    "\n",
    "If you are interested in the `recommended` flow, please check the tutorial notebook 4.3. In this section we will use the advanced flow, which directly operates on the simulator thorugh the renderer commands.\n",
    "\n",
    "#### Setup\n",
    "\n",
    "Select the analysis you intend to run from the `qiskit_metal.analyses.simulation` collection.<br>\n",
    "Select the design to analyze and the tool to use for any external simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "circular-decline",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit_metal.analyses.simulation.scattering_impedance import ScatteringImpedanceSim\n",
    "em1 = ScatteringImpedanceSim(design, \"hfss\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "rubber-local",
   "metadata": {},
   "source": [
    "For the DrivenModal simulation portion, you can either:\n",
    "1. Use the `em1` user-friendly methods (see tutorial 4.3)\n",
    "2. Control directly the simulation tool from the tool's GUI (outside metal - see specific vendor instructions)\n",
    "3. Use the renderer methods\n",
    "In this section we show the advanced method (method 3).\n",
    "\n",
    "The renderer can be reached from the analysis class. Let's give it a shorter alias."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "negative-deposit",
   "metadata": {},
   "outputs": [],
   "source": [
    "hfss = em1.renderer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "silent-bernard",
   "metadata": {},
   "source": [
    "Now we connect to the tool using the unified command."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "entire-sustainability",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO 06:21AM [connect_project]: Connecting to Ansys Desktop API...\n",
      "INFO 06:21AM [load_ansys_project]: \tOpened Ansys App\n",
      "INFO 06:21AM [load_ansys_project]: \tOpened Ansys Desktop v2020.2.0\n",
      "INFO 06:21AM [load_ansys_project]: \tOpened Ansys Project\n",
      "\tFolder:    C:/Ansoft/\n",
      "\tProject:   Project23\n",
      "INFO 06:21AM [connect_design]: No active design found (or error getting active design).\n",
      "INFO 06:21AM [connect]: \t Connected to project \"Project23\". No design detected\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hfss.start()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "requested-silly",
   "metadata": {},
   "source": [
    "#### Execute simulation and verify convergence\n",
    "\n",
    "Create and activate an eigenmode design called \"HangingResonators\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "facial-purchase",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "06:21AM 42s WARNING [activate_ansys_design]: The design_name=HangingResonators was not in active project.  Designs in active project are: \n",
      "[].  A new design will be added to the project.  \n",
      "INFO 06:21AM [connect_design]: \tOpened active design\n",
      "\tDesign:    HangingResonators [Solution type: DrivenModal]\n",
      "WARNING 06:21AM [connect_setup]: \tNo design setup detected.\n",
      "WARNING 06:21AM [connect_setup]: \tCreating drivenmodal default setup.\n",
      "INFO 06:21AM [get_setup]: \tOpened setup `Setup`  (<class 'pyEPR.ansys.HfssDMSetup'>)\n"
     ]
    }
   ],
   "source": [
    "hfss.activate_ansys_design(\"HangingResonators\", 'drivenmodal')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "severe-nightmare",
   "metadata": {},
   "source": [
    "Set the buffer width at the edge of the design to be 0.5 mm in both directions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "happy-adventure",
   "metadata": {},
   "outputs": [],
   "source": [
    "hfss.options['x_buffer_width_mm'] = 0.5\n",
    "hfss.options['y_buffer_width_mm'] = 0.5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "governmental-sympathy",
   "metadata": {},
   "source": [
    "#### Execute simulation and observe the Impedence\n",
    "Assign lumped ports on the two cpw terminations. Then observe the impedance plots.\n",
    "\n",
    "Here, pins cpw_openRight_end and cpw_openLeft_end are converted into lumped ports with an impedance of 50 Ohms. <br>\n",
    "Neither of the junctions in Q1 or Q2 are rendered."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "final-recording",
   "metadata": {},
   "outputs": [],
   "source": [
    "hfss.render_design(selection=[], \n",
    "                   open_pins=[], \n",
    "                   port_list=[('cpw_openRight', 'end', 50), ('cpw_openLeft', 'end', 50)], \n",
    "                   jj_to_port=[], \n",
    "                   ignored_jjs=[('Q1', 'rect_jj'), ('Q2', 'rect_jj')],\n",
    "                   box_plus_buffer = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "stupid-socket",
   "metadata": {},
   "source": [
    "(optional) Captures the renderer GUI."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "white-mexican",
   "metadata": {
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hfss.save_screenshot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "gothic-resource",
   "metadata": {},
   "source": [
    "Create the frequency sweep to observe the impedance, admittance and scattering matrices."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "strong-train",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO 06:23AM [get_setup]: \tOpened setup `Setup`  (<class 'pyEPR.ansys.HfssDMSetup'>)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<pyEPR.ansys.HfssFrequencySweep at 0x17cf6e53bc8>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hfss.add_sweep(setup_name=\"Setup\", \n",
    "               name=\"Sweep\", \n",
    "               start_ghz=4.0,\n",
    "               stop_ghz=8.0,\n",
    "               count=2001,\n",
    "               type=\"Interpolating\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "sealed-laugh",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO 06:23AM [get_setup]: \tOpened setup `Setup`  (<class 'pyEPR.ansys.HfssDMSetup'>)\n",
      "INFO 06:23AM [analyze]: Analyzing setup Setup : Sweep\n"
     ]
    }
   ],
   "source": [
    "hfss.analyze_sweep('Sweep', 'Setup')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "imposed-girlfriend",
   "metadata": {},
   "source": [
    "Plot S, Y, and Z parameters as a function of frequency. <br>\n",
    "The left and right plots display the magnitude and phase, respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "supposed-array",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(                      S11                 S21\n",
       " 4.000 -0.143617-0.041106j -0.276574+0.949311j\n",
       " 4.002 -0.143666-0.041021j -0.275970+0.949483j\n",
       " 4.004 -0.143716-0.040936j -0.275366+0.949654j\n",
       " 4.006 -0.143765-0.040851j -0.274762+0.949826j\n",
       " 4.008 -0.143814-0.040765j -0.274157+0.949997j\n",
       " ...                   ...                 ...\n",
       " 7.992 -0.037350+0.059355j  0.834663+0.546278j\n",
       " 7.994 -0.037260+0.059299j  0.835022+0.545741j\n",
       " 7.996 -0.037170+0.059244j  0.835381+0.545204j\n",
       " 7.998 -0.037080+0.059189j  0.835739+0.544667j\n",
       " 8.000 -0.036990+0.059133j  0.836097+0.544129j\n",
       " \n",
       " [2001 rows x 2 columns],\n",
       " <Figure size 3000x1800 with 2 Axes>)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hfss.plot_params(['S11', 'S21'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "incoming-multimedia",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(                      Y11                 Y21\n",
       " 4.000 -0.000000-0.006918j -0.000000-0.024393j\n",
       " 4.002  0.000000-0.006902j  0.000000-0.024388j\n",
       " 4.004  0.000000-0.006885j  0.000000-0.024384j\n",
       " 4.006  0.000000-0.006869j  0.000000-0.024379j\n",
       " 4.008  0.000000-0.006853j  0.000000-0.024374j\n",
       " ...                   ...                 ...\n",
       " 7.992  0.000000+0.034993j -0.000000-0.041781j\n",
       " 7.994  0.000000+0.035040j -0.000000-0.041820j\n",
       " 7.996  0.000000+0.035088j -0.000000-0.041860j\n",
       " 7.998  0.000000+0.035136j -0.000000-0.041900j\n",
       " 8.000  0.000000+0.035184j  0.000000-0.041939j\n",
       " \n",
       " [2001 rows x 2 columns],\n",
       " <Figure size 3000x1800 with 2 Axes>)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hfss.plot_params(['Y11', 'Y21'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "original-commission",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(                       Z11                  Z21\n",
       " 4.000 -0.000000-12.573899j  0.000000+44.561044j\n",
       " 4.002  0.000000-12.544109j  0.000004+44.552788j\n",
       " 4.004  0.000001-12.514329j  0.000007+44.544553j\n",
       " 4.006  0.000001-12.484561j  0.000011+44.536341j\n",
       " 4.008  0.000002-12.454803j  0.000015+44.528149j\n",
       " ...                    ...                  ...\n",
       " 7.992 -0.000049+67.825480j -0.000052+80.740443j\n",
       " 7.994 -0.000037+67.924162j -0.000039+80.824275j\n",
       " 7.996 -0.000025+68.023050j -0.000026+80.908315j\n",
       " 7.998 -0.000012+68.122145j -0.000013+80.992565j\n",
       " 8.000  0.000000+68.221447j  0.000000+81.077025j\n",
       " \n",
       " [2001 rows x 2 columns],\n",
       " <Figure size 3000x1800 with 2 Axes>)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hfss.plot_params(['Z11', 'Z21'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "rural-frost",
   "metadata": {},
   "source": [
    "Finally, disconnect from Ansys."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "legislative-palestine",
   "metadata": {},
   "outputs": [],
   "source": [
    "em1.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "noted-midnight",
   "metadata": {},
   "source": [
    "(optional) close the GUI."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "atlantic-benjamin",
   "metadata": {},
   "outputs": [],
   "source": [
    "# gui.main_window.close()"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
